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What is dimensionality reduction, why is it important and what basic techniques does it use?

What are the best Large Language Models and what advanced features do they offer?

What is Augmented Reality (AR) and what benefits does it provide?

What is feature learning, why is it important, and what are some key applications of it?

 What is image recognition, how does it work, and what are some key use cases?

What is overfitting in Machine Learning, why does it happen and how can it be avoided?

What is similarity learning, what are the main methods it uses and where is it applied?

What is sentiment analysis, where is it used and what features does it offer?

What are the most common Machine Learning interview questions and how can they be answered?